课题基金 / 基金详情

SHINE: Digitization of 27 Years of Big Bear Solar Observatory (BBSO) Films and Application in Statistical Study of Filaments and Flares

SHINE: Digitization of 27 Years of Big Bear Solar Observatory (BBSO) Films and Application in Statistical Study of Filaments and Flares
SHINE:大熊太阳天文台 (BBSO) 27 年胶片的数字化及其在灯丝和耀斑统计研究中的应用
批准号:
0849453
负责人:
Haimin Wang
金额:
$39.13万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-03-01 至 2014-02-28

项目摘要

项目成果

Haimin Wang的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
From 1969 to 1995, Big Bear Solar Observatory (BBSO) staff recorded all of their observations on 35 mm film before switching to digital imaging after 1995. These film data include full-disk observations from BBSO's 8 inch telescope and high resolution observations from the 10 and 26 inch telescopes, with the cadence of observations ranging from 10 seconds to 1 minute. These film data cover two and one-half solar cycles, include thousands of flares, and span the entire operational service of several space missions, including SMM, CGRO, and Yohkoh. Wide public access to these BBSO data films is impractical and their scientific capability has never been fully explored. The requested funding will support the purchase of specialized commercial digitizing equipment, as well as the employment of a postdoctoral researcher and undergraduate students to digitize these films and archive them in the public domain. The BBSO data to be digitized includes full-disk and high resolution H-alpha images, as well as He I images. The entire set of full-disk data will be converted to create a synoptic data base. High resolution film data will be digitized according to events selected by the full-disk data. All observed solar flares and filament eruptions will be automatically detected and cataloged using artificial intelligence methods that have been developed and implemented at BBSO. Despite some limitations of the film data format, the PI notes that the long-term coverage and high quality of the BBSO data will have very broad applications for many statistical studies. The PI's team will carry out targeted research on the filaments and flares with the digitized data. They plan to perform statistical analysis of solar filaments, including their motions and eruptions. They will study filament oscillations to verify whether they are precursors to, or the result of, solar flares. The PI and postdoc will investigate the rate of magnetic reconnection at the Sun and the relationship of filament acceleration to hard X-ray (HXR) emission. This new study will complement the ongoing comparison of existing BBSO digital data and HXR data from the RHESSI spacecraft.This research addresses the SHINE goal of understanding the initiation of CMEs and electron acceleration in flares. The study of a large number of archived events will improve the forecasting of future solar eruptive events, and thus assist operational space weather prediction. Funding is not requested for the PI, but it will instead support the postdoc and undergraduate students. At least three undergraduate students will participate in the film digitization and research, and the postdoc will gain management training by assisting the PI in supervising these students.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Collaborative Research: DKIST Critical Science: Study of Flare Producing Active Regions with Highest Resolution Observations and Data-based Magnetohydrodynamics (MHD) Modeling
  • 批准号:
    2204384
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.56万
  • 财政年份:
    2022
  • 负责人:
    Haimin Wang
  • 依托单位:
Collaborative Research: SHINE: Investigation of Mini-filament Eruptions and Their Relationship with Small Scale Magnetic Flux Ropes in Solar Wind
  • 批准号:
    2229064
  • 项目类别:
    Standard Grant
  • 资助金额:
    $43.57万
  • 财政年份:
    2022
  • 负责人:
    Haimin Wang
  • 依托单位:
Collaborative Research: Dynamic and Non-Force-Free Properties of Solar Active Regions and Subsequent Initiation of Flares
  • 批准号:
    1954737
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.48万
  • 财政年份:
    2020
  • 负责人:
    Haimin Wang
  • 依托单位:
EarthCube Data Capabilities: Machine Learning Enhanced Cyberinfrastructure for Understanding and Predicting the Onset of Solar Eruptions
  • 批准号:
    1927578
  • 项目类别:
    Standard Grant
  • 资助金额:
    $84.12万
  • 财政年份:
    2019
  • 负责人:
    Haimin Wang
  • 依托单位:
海外基金